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Recent progress in research and forecasting of tropical cyclone outer size
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作者 Benjamin A.Schenkel Chris Noble +4 位作者 Daniel Chavas Kelvin T.F.Chan Stephen J.Barlow Amit Singh Kate Musgrave 《Tropical Cyclone Research and Review》 2023年第3期151-164,共14页
This review article summarizes the current understanding and recent updates to tropical cyclone outer size and structure forecasting and research primarily since 2018 as part of the World Meteorological Organization&#... This review article summarizes the current understanding and recent updates to tropical cyclone outer size and structure forecasting and research primarily since 2018 as part of the World Meteorological Organization's 10th International Workshop on Tropical Cyclones.A more complete understanding of tropical cyclone outer wind and precipitation is key to anticipating storm intensification and the scale and magnitude of landfalling hazards.We first discuss the relevance of tropical cyclone outer size and structure,improvements in our understanding of its life cycle and inter-basin variability,and the processes that impact outer size changes.We next focus on current forecasting practices and differences among warning centers,recent advances in operational forecasting,and new observations of the storm outer wind field.We also summarize recent research on projected tropical cyclone outer size and structure changes by the late 21st century.Finally,we discuss recommendations for the future of tropical cyclone outer size forecasting and research. 展开更多
关键词 Tropical cyclones Climate change Operational forecasting Outer size Outer structure
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台风为什么在海上生成
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作者 陈诗祺 王琴 《十万个为什么(探索版)》 2022年第6期20-23,共4页
台风是一个深厚的低压系统,具有暖心结构(中心温度比周围高得多)。它们在海上行进时,就像前进中的车轮一样,一边绕自己的中心急速转动,一边随周围大气向前移动。影响中国的台风基本上生成在西北太平洋上。在赤道或极地附近是没有台风的... 台风是一个深厚的低压系统,具有暖心结构(中心温度比周围高得多)。它们在海上行进时,就像前进中的车轮一样,一边绕自己的中心急速转动,一边随周围大气向前移动。影响中国的台风基本上生成在西北太平洋上。在赤道或极地附近是没有台风的,这是为什么呢?因为在赤道附近,缺乏台风生成的一个关键因素-地转偏向力接近于零;而靠近极地的地方,海水温度太低了,不能给台风的发生、发展提供足够的热量。所以,在这些地方是不会生成台风的。 展开更多
关键词 西北太平洋 地转偏向力 暖心结构 周围大气 海水温度 低压系统 台风 极地
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Recommendations for improved tropical cyclone formation and position probabilistic Forecast products
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作者 Jason P.Dunion Chris Davis +19 位作者 Helen Titley Helen Greatrex Munehiko Yamaguchi John Methven Raghavendra Ashrit Zhuo Wang Hui Yu Anne-Claire Fontan Alan Brammer Matthew Kucas Matthew Ford Philippe Papin Fernando Prates Carla Mooney Andrew Kruczkiewicz Paromita Chakraborty Andrew Burton Mark DeMaria Ryan Torn Jonathan L.Vigh 《Tropical Cyclone Research and Review》 2023年第4期241-258,共18页
Prediction of the potentially devastating impact of landfalling tropical cyclones(TCs)relies substantially on numerical prediction systems.Due to the limited predictability of TCs and the need to express forecast conf... Prediction of the potentially devastating impact of landfalling tropical cyclones(TCs)relies substantially on numerical prediction systems.Due to the limited predictability of TCs and the need to express forecast confidence and possible scenarios,it is vital to exploit the benefits of dynamic ensemble forecasts in operational TC forecasts and warnings.RSMCs,TCWCs,and other forecast centers value probabilistic guidance for TCs,but the International Workshop on Tropical Cyclones(IWTC-9)found that the“pull-through”of probabilistic information to operational warnings using those forecasts is slow.IWTC-9 recommendations led to the formation of the WMO/WWRP Tropical Cyclone-Probabilistic Forecast Products(TC-PFP)project,which is also endorsed as a WMO Seamless GDPFS Pilot Project.The main goal of TC-PFP is to coordinate across forecast centers to help identify best practice guidance for probabilistic TC forecasts.TC-PFP is being implemented in 3 phases:Phase 1(TC formation and position);Phase 2(TC intensity and structure);and Phase 3(TC related rainfall and storm surge).This article provides a summary of Phase 1 and reviews the current state of the science of probabilistic forecasting of TC formation and position.There is considerable variability in the nature and interpretation of forecast products based on ensemble information,making it challenging to transfer knowledge of best practices across forecast centers.Communication among forecast centers regarding the effectiveness of different approaches would be helpful for conveying best practices.Close collaboration with experts experienced in communicating complex probabilistic TC information and sharing of best practices between centers would help to ensure effective decisions can be made based on TC forecasts.Finally,forecast centers need timely access to ensemble information that has consistent,user-friendly ensemble information.Greater consistency across forecast centers in data accessibility,probabilistic forecast products,and warnings and their communication to users will produce more reliable information and support improved outcomes. 展开更多
关键词 Tropical cyclone PROBABILISTIC FORMATION POSITION
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